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Leaf Surface Reconstruction Using a Hybrid Interpolation Finite Element Method
The goals of the research presented in this paper are first, construction a leaf surface from large real 3D scanned data points using a new hybrid...
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Prediction of Rice Leaf Diseases at an Early Stage Using Deep Neural Networks
Rice is the major crop in India, and India has been the biggest exporter and the second-largest producer in the entire world, so it is heavily...
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A Deep Learning Approach for Detection and Localization of Leaf Anomalies
The detection and localization of possible diseases in crops are usually automated by resorting to supervised deep learning approaches. In this work,...
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Modelling leaf surface reconstruction using Bernstein polynomials method
In this research paper, we adapt for the first time Bernstein polynomials for reconstructing a continuous differentiable surfaces of a real leaf from...
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A Preconditioner for Free-Surface Hydrodynamics BEM
The computation of hydrodynamic loads from sea surface waves on large arrays of objects is of physical and engineering interest.
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Optimized threshold-based convolutional neural network for plant leaf classification: a challenge towards untrained data
The problem of identifying the plant type seems to be tough due to the altering leaf color, and the variations in leaf shape overage. The plant leaf...
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Control Model of Banana Black Sigatoka Disease with Seasonality
The main objective of this paper is to present a mathematical model of pathogen-host interactions of Banana Black Sigatoka Disease that incorporates...
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Line–Cyclide Intersection and Colinear Point Quadruples in the Double Conformal Model
In this paper, we look at using the double conformal model for ray tracing and for tool positioning in Computer Numerically Controlled (CNC)...
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Light as a Dipole: A Tortoise and Hare Model
Rather than using the classic models of treating a photon as a particle or a wave, why not model light by combining the two ideas and treat light as...
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RETRACTED ARTICLE: AHI: a hybrid machine learning model for complex industrial information systems
A summary of the numerous hybrid machine learning (HML) patterns is provided in this paper, which covers the complete ML lifecycle from model...
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Stage-structure model for the dynamics of whitefly transmitted plant viral disease: an optimal control approach
In this article, a mathematical model is formulated to study the dynamics of whitefly transmitted viral diseases in plants. Here, the aim is to...
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Incorporating carbon dioxide into a stoichiometric producer–grazer model
Climate change models predict increases in atmospheric carbon dioxide concentration. As ecosystems equilibrate with the atmosphere, stimulation of...
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Surfing the Hyperbola Equations of the Steady-State Farquhar–von Caemmerer–Berry C3 Leaf Photosynthesis Model: What Can a Theoretical Analysis of Their Oblique Asymptotes and Transition Points Tell Us?
The asymptotes and transition points of the net CO 2 assimilation ( A / C i ) rate curves of the steady-state Farquhar–von Caemmerer–Berry (FvCB) model for...
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Stationary Distribution, Extinction and Probability Density Function of a Stochastic Vegetation–Water Model in Arid Ecosystems
In this paper, we study a three-dimensional stochastic vegetation–water model in arid ecosystems, where the soil water and the surface water are...
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Optimization of Physico-Chemical Parameters for the Production of Endoxylanase Using Combined Response Surface Method and Genetic Algorithm
Endoxylanase production by Trichoderma reesei Rut C-30 was optimized under solid-state fermentation using a mixture of waste paper and wheat bran....
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Data-Driven Reduced Order Models Using Invariant Foliations, Manifolds and Autoencoders
This paper explores how to identify a reduced order model (ROM) from a physical system. A ROM captures an invariant subset of the observed dynamics....
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GPU-native Dynamic Octree-based Grid Adaptation to Moving Bodies
AbstractThe present paper is devoted to the development of algorithms for dynamic grid adaptation to the geometry of an immersed moving rigid body...
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Parameter Estimation in a PDE Model for the Spatial Spread of Cocoa Black Pod Disease
In this paper, we develop an epidemiological model with both environmental (primary infection from the environmental spores reservoir) and direct...
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Multi-Frequency Polarimetric SAR Data Analysis for Crop Type Classification Using Random Forest
This chapter investigates multi-frequency (C-, L-, and P-bands) single-date AIRSAR data using Random Forest (RF) based polarimetric parameter...